/**
 * AI engine-input scenario IDs + display metadata (v0.2 Phase 6 learner panels).
 *
 * D-021 alignment: IDs are string-identical to the Python corpus
 * `apps/ai-service/ai_service/corpus/telemetry.py` and `artifacts.py`.
 * Do not rename one side without the other. Real engines (sandbox fabric,
 * assessment engine) are v0.3+.
 */

export const aiLabScenarios = [
  {
    id: 'lab-scenario-strong',
    title: 'Strong build session — multi-agent research assistant',
    competencyId: 'stack-orchestration-c002',
    description: 'Steady progress, checkpoints, and passing tests — the healthy pattern.',
  },
  {
    id: 'lab-scenario-struggling',
    title: 'Struggling build session — repeated failures, no checkpoints',
    competencyId: 'stack-orchestration-c002',
    description: 'Same failure twice, long idle gaps, no recovery strategy.',
  },
  {
    id: 'lab-scenario-flagged',
    title: 'Flagged build session — large paste, instant pass',
    competencyId: 'stack-orchestration-c003',
    description: 'Suspicious velocity worth a supportive check-in, not a penalty.',
  },
] as const;

export const aiArtifactSubmissions = [
  {
    id: 'art-eval-research-assistant',
    name: 'Multi-agent research assistant (eval build)',
    competencyId: 'stack-orchestration-c002',
    description: 'LangGraph-based assistant with clean state boundaries and retries.',
  },
  {
    id: 'art-eval-rag-dashboard',
    name: 'RAG retrieval quality dashboard (eval build)',
    competencyId: 'stack-orchestration-c003',
    description: 'Eval harness sweep with gaps in error handling — partial mastery.',
  },
] as const;

export type AiLabScenario = (typeof aiLabScenarios)[number];
export type AiArtifactSubmission = (typeof aiArtifactSubmissions)[number];